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Energy and protein requirements of Holstein × Gyr crossbred heifers

Published online by Cambridge University Press:  06 April 2020

M. M. D. Castro Open the ORCID record for M. M. D. Castro [Opens in a new window] ,
R. L. Albino Open the ORCID record for R. L. Albino [Opens in a new window] ,
J. P. P. Rodrigues Open the ORCID record for J. P. P. Rodrigues [Opens in a new window] ,
A. L. L. Sguizzato Open the ORCID record for A. L. L. Sguizzato [Opens in a new window] ,
M. M. F. Santos ,
P. P. Rotta Open the ORCID record for P. P. Rotta [Opens in a new window] ,
J. S. Caton ,
L. E. F. D. Moraes Open the ORCID record for L. E. F. D. Moraes [Opens in a new window] ,
F. F. Silva Open the ORCID record for F. F. Silva [Opens in a new window]  and
M. I. Marcondes Open the ORCID record for M. I. Marcondes [Opens in a new window]
M. M. D. Castro
Affiliation:
Department of Animal Science, Universidade Federal de Viçosa, Peter Henry Rolfs Avenue, Viçosa, Minas Gerais36570-900, Brazil
R. L. Albino
Affiliation:
Department of Animal Science, Universidade Federal de Viçosa, Peter Henry Rolfs Avenue, Viçosa, Minas Gerais36570-900, Brazil
J. P. P. Rodrigues
Affiliation:
Department of animal Science, Institute of Studies of Humid Tropics, Universidade Federal do Sul e Sudeste do Pará, 31st Street, Block 07, Xinguara, Pará68557-335, Brazil
A. L. L. Sguizzato
Affiliation:
Department of Animal Science, Universidade Federal de Viçosa, Peter Henry Rolfs Avenue, Viçosa, Minas Gerais36570-900, Brazil
M. M. F. Santos
Affiliation:
Department of Animal Science, Universidade Federal de Viçosa, Peter Henry Rolfs Avenue, Viçosa, Minas Gerais36570-900, Brazil
P. P. Rotta
Affiliation:
Department of Animal Science, Universidade Federal de Viçosa, Peter Henry Rolfs Avenue, Viçosa, Minas Gerais36570-900, Brazil
J. S. Caton
Affiliation:
Department of Animal Science, North Dakota State University, Albrecht Blvd Street, No. 1230, Fargo, ND58108, USA
L. E. F. D. Moraes
Affiliation:
Department of Animal Sciences, The Ohio State University, Fyffe Court Road, No. 2029, Columbus, OH43210, USA
F. F. Silva
Affiliation:
Department of Animal Science, Universidade Federal de Viçosa, Peter Henry Rolfs Avenue, Viçosa, Minas Gerais36570-900, Brazil
M. I. Marcondes*
Affiliation:
Department of Animal Science, Universidade Federal de Viçosa, Peter Henry Rolfs Avenue, Viçosa, Minas Gerais36570-900, Brazil
*
†E-mail: marcos.marcondes@ufv.br
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Abstract

Nutrient requirements in cattle are dependent on physiological stage, breed and environmental conditions. In Holstein × Gyr crossbred dairy heifers, the lack of data remains a limiting factor for estimating energy and protein requirements. Thus, we aimed to estimate the energy and protein requirements of Holstein × Gyr crossbred heifers raised under tropical conditions. Twenty-two crossbred (½ Holstein × ½ Gyr) heifers with an average initial BW of 102.2 ± 3.4 kg and 3 to 4 months of age were used. To estimate requirements, the comparative slaughter technique was used: four animals were assigned to the reference group, slaughtered at the beginning of the experiment to estimate the initial empty BW (EBW) and composition of the animals that remained in the experiment. The remaining animals were randomized into three treatments based on targeted rates of BW gain: high (1.0 kg/day), low (0.5 kg/day) and close to maintenance (0.1 kg/day). At the end of the experiment, all animals were slaughtered to determine EBW, empty body gain (EBG) and body energy and protein contents. The linear regression parameters were estimated using PROC MIXED of SAS (version 9.4). Estimates of the parameters of non-linear regressions were adjusted through PROC NLIN of SAS using the Gauss–Newton method for parameter fit. The net requirements of energy for maintenance (NEm) and metabolizable energy for maintenance (MEm) were 0.303 and 0.469 MJ/EBW0.75 per day, respectively. The efficiency of use of MEm was 64.5%. The estimated equation to predict the net energy requirement for gain (NEg) was: NEg (MJ/day) = 0.299 × EBW0.75 × EBG0.601. The efficiency of use of ME for gain (kg) was 30.7%. The requirement of metabolizable protein for maintenance was 3.52 g/EBW0.75 per day. The equation to predict net protein requirement for gain (NPg) was: NPg (g/day) = 243.65 × EBW−0.091 × EBG. The efficiency of use of metabolizable protein for gain (k) was 50.8%. We observed noteworthy differences when comparing to ME and protein requirements of Holstein × Gyr crossbred heifers with other systems. In addition, we also observed differences in estimates for NEm, NEg, NPg, kg and k. Therefore, we propose that the equations generated in the present study should be used to estimate energy and protein requirements for Holstein × Gyr crossbred dairy heifers raised in tropical conditions in the post-weaning phase up to 185 kg of BW.

Keywords

growthmaintenancemetabolizable energymetabolizable proteinnet requirements
Type
Research Article
Information
animal , Volume 14 , Issue 9 , September 2020 , pp. 1857 - 1866
Copyright
© The Animal Consortium 2020

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References

Ainslie, SJ, Fox, DG, Perry, TC, Ketchen, DJ and Barry, MC 1993. Predicting amino acid adequacy of diets fed to Holstein steers. Journal of Animal Science 71, 1312–1319.CrossRefGoogle ScholarPubMed
Association of Official Analytical chemists (AOAC) 1990. Official methods of analysis, 15th edition. AOAC, Washington, DC, USA.Google Scholar
BR-CORTE 2016. Nutrient requirements of Zebu and Crossbred, 3rd edition. Suprema Gráfica e Editora, Visconde do Rio Branco, MG, Brazil.Google Scholar
Castro, MMD 2016. Nutrient requirements of energy and protein of heifers and macrominerals of dairy calves. Masterʼs thesis, Federal University of Viçosa, Viçosa, MG, Brazil.Google Scholar
Chagas, JCC, Ferreira, MA, Campos, MM, Machado, FS, Silva, LC, Faciola, A and Marcondes, MI 2019. Energy and protein requirements of crossbred Holstein × Gyr calves fed commercial milk replacer and amino acid supplement. Animal Production Science 59, 879–886.CrossRefGoogle Scholar
Chizzotti, ML, Tedeschi, LO and Valadares Filho, SC 2008. A meta-analysis of energy and protein requirements for maintenance and growth of Nellore cattle. Journal of Animal Science 86, 1588–1597.CrossRefGoogle ScholarPubMed
Chizzotti, ML, Valadares Filho, SC, Tedeschi, LO, Chizzotti, FHM and Carstens, GE 2007. Energy and protein requirements for growth and maintenance of F1 Nellore × Red Angus bulls, steers, and heifers. Journal of Animal Science 85, 1971–1981.CrossRefGoogle ScholarPubMed
Costa e Silva, LF, Engle, TE, Valadares Filho, SC, Rotta, PP, Valadares, RFD, Silva, BC and Pacheco, MVC 2015. Intake, apparent digestibility, and nutrient requirements for growing Nellore heifers and steers fed two levels of calcium and phosphorus. Livestock Science 181, 17–24.CrossRefGoogle Scholar
Detmann, E, Souza, MA and Valadares Filho, SC 2012. Methods for food analysis. 1st edition, Suprema, Visconde do Rio Branco, BrazilGoogle Scholar
Detmann, E and Valadares Filho, SC 2010. On the estimation of non-fibrous carbohydrates in feeds and diets. Arquivo Brasileiro de Medicina Veterinaria e Zootecnia 62, 980–984.CrossRefGoogle Scholar
Dunklee, JS, Freeman, AE and Kelley, DH 1994. Comparison of Holsteins selected for high and average milk production. 2. Health and reproductive response to selection for milk. Journal of Dairy Science 77, 3683–3690.CrossRefGoogle ScholarPubMed
Ferrell, CL and Jenkins, TG 1998. Body composition and energy utilization by steers of diverse genotypes fed a high-concentrate diet during the finishing period: II. Angus, Boran, Brahman, Hereford, and Tuli sires. Journal of Animal Science 76, 647–657.CrossRefGoogle ScholarPubMed
Fortin, A, Simpfendorfer, S, Reid, JT, Ayala, HJ, Anrique, R and Kertz, AF 1980. Effect of level of energy intake and influence of breed and sex on the chemical composition of cattle. Journal of Animal Science 51, 604–614.CrossRefGoogle ScholarPubMed
Galyean, ML, Cole, NA, Tedeschi, LO and Branine, ME 2016. Efficiency of converting digestible energy to metabolizable energy and reevaluation of the California Net Energy System maintenance requirements and equations for predicting dietary net energy values for beef cattle. Journal of Animal Science 94, 1329–1341.CrossRefGoogle ScholarPubMed
Garrett, WN 1980. Energy utilization by growing cattle as determined in 72 comparative slaughter experiments. In Proceedings European Association Animal Production, Symposium Energy Metabolism, September 1979, Cambridge, England, pp. 7–27.CrossRefGoogle Scholar
Geay, Y 1984. Energy and protein utilization in growing cattle. Journal of Animal Science 58, 766–778.CrossRefGoogle ScholarPubMed
Hales, K and Old, CA 2019. Metabolizable energy utilisation in growing beef cattle: efficiencies of protein and fat synthesis. In Energy and protein metabolism and nutrition (ed. Chizzotti, ML), pp. 481–482. EEAP Publishing, Belo Horizonte, MG, Brazil.CrossRefGoogle Scholar
Kielanowski, J 1965. Estimates of the energy cost of protein deposition in growing animals. In Energy metabolism (ed. Blaxter, KL), pp. 13–20. Academic Press, London, UK.Google Scholar
Klemesrud, MJ, Klopfenstein, TJ, Stock, RA, Lewis, AJ and Herold, DW 2000. Effect of dietary concentration of metabolizable lysine on finishing cattle performance. Journal of Animal Science 78, 1060–1066.CrossRefGoogle ScholarPubMed
Koong, LJ 1977. A new method for estimating energetic efficiencies. The Journal of Nutrition 107, 1724–1728.CrossRefGoogle ScholarPubMed
Lofgreen, GP and Garrett, WN 1968. A system for expressing net energy requirements and feed values for growing and finishing beef cattle. Journal of Animal Science 27, 793–806.CrossRefGoogle Scholar
Marcondes, MI, Paulino, PVR, Valadares Filho, SC, Gionbelli, MP, Costa e Silva, LF and Tedeschi, L 2010. Prediction of body and carcass chemical composition of purebred and crossbred Nellore cattle. In Nutrients requirements of Zebu and Crossbreed (BR CORTE 2.0) (ed. Filho, SCV, Marcondes, MI, Chizzotti, ML and Paulino, PVR), pp. 65–84. Suprema Grafica Ltda, Viçosa, MG, Brazil.Google Scholar
National Research Council (NRC) 2000. Nutrient requirements of Beef cattle, 7th edition. National Academy Press, Washington, DC, USA.Google Scholar
National Research Council (NRC) 2001. Nutrients requirements of Dairy cattle, 7th revised edition. National Academy Press, Washington, DC, USA.Google Scholar
Oss, DB, Machado, FS, Tomich, TR, Pereira, LGR, Campos, MM, Castro, MMD, Da Silva, TE and Marcondes, MI 2017. Energy and protein requirements of crossbred (Holstein × Gyr) growing bulls. Journal of Dairy Science 100, 2603–2613.CrossRefGoogle ScholarPubMed
Owens, FN, Hill, WJ and Gill, DR 1995. Intake by feedlot cattle. In Proceedings of the 56th Minnesota Nutrition conference and Altech, 18–20 September 1995, Bloomington, MN, USA, pp. 97–109.Google Scholar
R Core Team 2018. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/.Google Scholar
Rodrigues, JPP, Lima, JCM, Castro, MMD, Valadares Filho, SC, Campos, MM, Chizzotti, ML and Marcondes, MI 2016. Energy and protein requirements of young Holstein calves in tropical condition. Tropical Animal Health Production 48, 1387–1394.CrossRefGoogle ScholarPubMed
Rotta, PP, Valadares Filho, SC, Detman, E, Costa, LF, Viladiego, FAC, Burgos, EMG and Silva, FAS 2013. Nutrient requirements of energy and protein for Holstein × Zebu bulls finished in feedlot. Semina Agrarias 34, 2523–2534.CrossRefGoogle Scholar
Silva, FAS, Valadares Filho, SC, Reno, LN, Zanetti, D, Costa e Silva, LF, Godoi, LA, Vieira, JMP, Menezes, ACB, Pucetti, P and Rotta, PP 2017. Energy and protein requirements for growth of Holstein × Gyr heifers. Journal Animal Physiology Animal Nutrition 102, 82–93.CrossRefGoogle ScholarPubMed
Smith, BJ 2007. boa: An R package for MCMC output convergence assessment and posterior inference. Journal of Statistical Software 21, 1–37.CrossRefGoogle Scholar
Statistical Analysis System Institute (SAS®) Inc. 2013. Base SAS® 9.4 procedures guide: statistical procedures, 2nd edition. Statistical Analysis System Institute Inc., Cary, NC, USA.Google Scholar
Strate, AB, Jørgensen, H, Kebreab, E and Danfaer, A 2012. Bayesian simultaneous equation models for the analysis of energy intake and partitioning in growing pigs. The Journal of Agricultural Science 150, 764–774.CrossRefGoogle Scholar
Sturtz, S, Ligges, U and Gelman, A 2005. R2WinBUGS: A package for running WinBUGS from R. Journal of Statistical Software 12, 1–16.CrossRefGoogle Scholar
Wilkerson, VA, Klopfenstein, TJ, Britton, RA, Stock, RA and Miller, PS 1993. Metabolizable protein and amino acid requirements of growing cattle. Journal of Animal Science 71, 2777–2784.CrossRefGoogle ScholarPubMed